Comprehensive molecular profiling of multiple myeloma identifies refined copy number and expression subtypes
Open accessAbstract
Multiple myeloma is a treatable, but currently incurable, hematological malignancy of plasma cells characterized by diverse and complex tumor genetics for which precision medicine approaches to treatment are lacking. The Multiple Myeloma Research Foundation’s Relating Clinical Outcomes in Multiple Myeloma to Personal Assessment of Genetic Profile study ( NCT01454297 ) is a longitudinal, observational clinical study of newly diagnosed patients with multiple myeloma (n = 1,143) where tumor samples are characterized using whole-genome sequencing, whole-exome sequencing and RNA sequencing at diagnosis and progression, and clinical data are collected every 3 months. Analyses of the baseline cohort identified genes that are the target of recurrent gain-of-function and loss-of-function events. Consensus clustering identified 8 and 12 unique copy number and expression subtypes of myeloma, respectively, identifying high-risk genetic subtypes and elucidating many of the molecular underpinnings of these unique biological groups. Analysis of serial samples showed that 25.5% of patients transition to a high-risk expression subtype at progression. We observed robust expression of immunotherapy targets in this subtype, suggesting a potential therapeutic option. Longitudinal genomic and transcriptomic profiling of 1,143 patients with multiple myeloma by the Relating Clinical Outcomes in Multiple Myeloma to Personal Assessment of Genetic Profile study yields an improved copy number and gene expression subtype scheme, most notably a high-risk proliferative subtype associated with complete loss of RB1 or MAX.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Multiple myeloma and MGUS/SMM have two key groups of initiating events: immunoglobulin (IGH) translocations and hyperdiploidy (HY).
“Historically, MM and MGUS/SMM have two key groups of initiating events: immunoglobulin (IGH) translocations and hyperdiploid (HY).9,54-59”
From Evolution of Multiple Myeloma from a Genomic Perspective (2026) · cites this paper as [57]
The Main section (page unavailable) describes two broad karyotypic groups in multiple myeloma: hyperdiploid tumors and non-hyperdiploid tumors that typically have an immunoglobulin translocation. The Results > Cohort description section (page unavailable) reports that most identified immunoglobulin translocations involved IGH. The copy does not establish these as initiating events or extend the grouping to MGUS/SMM. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Heterogeneity of genomic evolution and mutational profiles in multiple myeloma
Bolli, N., Avet-Loiseau, H., Wedge, D. C., Van Loo, P., Alexandrov, L. B., Martincorena, I., Dawson, K. J., Iorio, F., Nik-Zainal, S., Bignell, G. R., et al. (2014) · Nature Communications · doi:10.1038/ncomms3997 · Cited by 875 · see citing works
Walker, B. A., Wardell, C. P., Murison, A., Boyle, E. M., Begum, D. B., Dahir, N. M., Proszek, P. Z., Melchor, L., Pawlyn, C., Kaiser, M. F., et al. (2015) · Nature Communications · doi:10.1038/ncomms7997 · Cited by 313 · see citing works
MYC dysregulation in the progression of multiple myeloma
MMRF CoMMpass Network, Misund, K., Keane, N., Stein, C. K., Asmann, Y. W., Day, G., Welsh, S., Van Wier, S. A., Riggs, D. L., Ahmann, G., et al. (2020) · Leukemia · doi:10.1038/s41375-019-0543-4 · Cited by 161 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 31
- [1]Lewis, J. P. & Mackenzie, M. R. Non‐random chromosomal aberrations associated with multiple myeloma. Hematol. Oncol. 2, 307–317 (1984). 6335483 · DOI
- [2]Avet-Loiseau, H. et al. Prognostic significance of copy-number alterations in multiple myeloma. J. Clin. Oncol. 27, 4585–4590 (2009). 19687334 PMC2754906 · DOI
- [3]Carrasco, D. R. et al. High-resolution genomic profiles define distinct clinico-pathogenetic subgroups of multiple myeloma patients. Cancer Cell 9, 313–325 (2006). 16616336 · DOI
- [4]Venti, G., Mecucci, C., Donti, E. & Tabilio, A. Translocation t(11;14) and trisomy 11q13-qter in multiple myeloma. Ann. Genet. 27, 53–55 (1984). 6609674
- [5]Bergsagel, P. L. et al. Promiscuous translocations into immunoglobulin heavy chain switch regions in multiple myeloma. Proc. Natl Acad. Sci. USA 93, 13931–13936 (1996). 8943038 PMC19472 · DOI · Paper page
- [6]Shaughnessy, J. et al. Cyclin D3 at 6p21 is dysregulated by recurrent chromosomal translocations to immunoglobulin loci in multiple myeloma. Blood 98, 217–223 (2001). 11418483 · DOI
- [7]Avet-Loiseau, H. et al. Oncogenesis of multiple myeloma: 14q32 and 13q chromosomal abnormalities are not randomly distributed, but correlate with natural history, immunological features, and clinical presentation. Blood 99, 2185–2191 (2002). 11877296 · DOI
- [8]Boersma‐Vreugdenhil, G. R. et al. The recurrent translocation t(14;20)(q32;q12) in multiple myeloma results in aberrant expression of MAFB: a molecular and genetic analysis of the chromosomal breakpoint. Br. J. Haematol. 126, 355–363 (2004). 15257707 · DOI
- [9]Fonseca, R. et al. The recurrent IgH translocations are highly associated with nonhyperdiploid variant multiple myeloma. Blood 102, 2562–2567 (2003). 12805059 · DOI
- [11]Lohr, J. G. et al. Widespread genetic heterogeneity in multiple myeloma: implications for targeted therapy. Cancer Cell 25, 91–101 (2014). 24434212 PMC4241387 · DOI · Paper page
- [12]Walker, B. A. et al. Mutational spectrum, copy number changes, and outcome: results of a sequencing study of patients with newly diagnosed myeloma. J. Clin. Oncol. 33, 3911–3920 (2015). 26282654 PMC6485456 · DOI · Paper page
- [13]Chapman, M. A. et al. Initial genome sequencing and analysis of multiple myeloma. Nature 471, 467–472 (2011). 21430775 PMC3560292 · DOI
- [14]Greipp, P. R. et al. International staging system for multiple myeloma. J. Clin. Oncol. 23, 3412–3420 (2005). 15809451 · DOI · Paper page
- [15]Palumbo, A. et al. Revised international staging system for multiple myeloma: a report from International Myeloma Working Group. J. Clin. Oncol. 33, 2863–2869 (2015). 26240224 PMC4846284 · DOI · Paper page
- [16]Keats, J. J. et al. Promiscuous mutations activate the noncanonical NF-κB pathway in multiple myeloma. Cancer Cell 12, 131–144 (2007). 17692805 PMC2083698 · DOI · Paper page
- [17]Zhan, F. The molecular classification of multiple myeloma. Blood 108, 2020–2028 (2006). 16728703 PMC1895543 · DOI
- [18]Broyl, A. et al. Gene expression profiling for molecular classification of multiple myeloma in newly diagnosed patients. Blood 116, 2543–2553 (2010). 20574050 · DOI
- [19]Dunham, I. et al. An integrated encyclopedia of DNA elements in the human genome. Nature 489, 57–74 (2012). 22955616 PMC3439153 · DOI · Paper page
- [20]Davis, C. A. et al. The Encyclopedia of DNA Elements (ENCODE): data portal update. Nucleic Acids Res. 46, gkx1081 (2017). PMC5753278 29126249
- [23]Cho, S.-J. et al. Ninjurin1, a target of p53, regulates p53 expression and p53-dependent cell survival, senescence, and radiation-induced mortality. Proc. Natl Acad. Sci. USA 110, 9362–9367 (2013). 23690620 PMC3677487 · DOI
- [24]Chng, W. J. et al. Clinical significance of TP53 mutation in myeloma. Leukemia 21, 582–584 (2007). 17215851 · DOI
- [25]Boyd, K. D. et al. A novel prognostic model in myeloma based on co-segregating adverse FISH lesions and the ISS: analysis of patients treated in the MRC Myeloma IX trial. Leukemia 26, 349–355 (2012). 21836613 PMC4545515 · DOI
- [26]Walker, B. A. et al. A high-risk, double-hit, group of newly diagnosed myeloma identified by genomic analysis. Leukemia 33, 159–170 (2019). 29967379 PMC6326953 · DOI
- [27]Chesi, M. et al. Monosomic loss of MIR15A/MIR16-1 is a driver of multiple myeloma proliferation and disease progression. Blood Cancer Discov. 1, 68–81 (2020). 32954360 PMC7494232 · DOI
- [28]Kumar, S. et al. Efficacy of venetoclax as targeted therapy for relapsed/refractory t(11;14) multiple myeloma. Blood 130, 2401–2409 (2017). 29018077 · DOI
- [29]Bergsagel, P. L. et al. Cyclin D dysregulation: an early and unifying pathogenic event in multiple myeloma. Blood 106, 296–303 (2005). 15755896 PMC1895118 · DOI
- [30]Stein, C. K. et al. The varied distribution and impact of RAS codon and other key DNA alterations across the translocation cyclin D subgroups in multiple myeloma. Oncotarget 8, 27854–27867 (2017). 28427158 PMC5438613 · DOI
- [31]Augert, A. et al. MAX functions as a tumor suppressor and rewires metabolism in small cell lung cancer. Cancer Cell 38, 97–114 (2020). 32470392 PMC7363581 · DOI
- [32]Boyle, E. M. et al. High‐risk transcriptional profiles in multiple myeloma are an acquired feature that can occur in any subtype and more frequently with each subsequent relapse. Br. J. Haematol. 195, 283–286 (2021). 34244996 · DOI
- [33]Annunziata, C. M. et al. Frequent engagement of the classical and alternative NF-kappaB pathways by diverse genetic abnormalities in multiple myeloma. Cancer Cell 12, 115–130 (2007). 17692804 PMC2730509 · DOI · Paper page
- [34]Demchenko, Y. N. et al. Classical and/or alternative NF-kappaB pathway activation in multiple myeloma. Blood 115, 3541–3552 (2010). 20053756 PMC2867265 · DOI
Cited by
Sorted by citations
Badonyi, M., & Marsh, J. A. (2025) · Nature Communications · doi:10.1038/s41467-025-63234-3 · Cited by 19 · see citing works
“…skewed by study bias, in that multi-phenotype genes areoverrepresented indiseasegenes that have historically attracted more attention (e.g., TP53 , KRAS , and BRCA2 ), mLOF score analysisindicatesthat 43% of dominant and 49%of mixed-inheritance multi-phenotype genes exhibit phenotypes driven by…”
Evolution of Multiple Myeloma from a Genomic Perspective
Maura, F., Samur, M., & Munshi, N. (2026) · Blood · doi:10.1182/blood.2024026313 · Cited by 8 · see citing works
- Authors
- Skerget, S., Penaherrera, D., Chari, A., Jagannath, S., Siegel, D. S., Vij, R., Orloff, G., Jakubowiak, A., Niesvizky, R., Liles, D., Berdeja, J., Levy, M., Wolf, J., Usmani, S. Z., The MMRF CoMMpass Network, Rifkin, R., Meehan, K., Benson, D., Zonder, J., Ascensao, J., Gasparetto, C., Hernández, M., Trudel, S., Dakhil, S., Bahlis, N., Paganini, J. V., Rios, P., Sampol, A., Mannem, S., Silbermann, R., Lunning, M., Chu, M., Milner, C., Harroff, A., Graham, M., Shao, S., Dodlapati, J., de Larrea, C. F., Klein, L., Kuzma, C., Fonseca, R., Azaceta, G., Granell, M., Martinez-Chamorro, C., Balaraman, R., Silva, C., Chinea, A., Costello, C., Kambhampati, S., Lewis, D., Grossbard, M., Yost, K., Robles, R., Sebag, M., Harris, W., Ngaiza, J., Bar, M., Shieh, M., Min, F., Onitilo, A., Volterra, F., Wachsman, W., Yalamachili, M., Abella, E., Anderson, L., Bargay, J., Hassoun, H., Hsu, G., Kaya, H., Menter, A., Patel, D., Richards, D., Solomon, W., Anderson, R., Chandra, S., Conde, M., Girnius, S., Matkiwsky, M., Krsnik, I., Kumar, S., Oriol, A., Rodríguez, P., Roy, V., Srinivas, S., Steis, R., Christofferson, A. W., Nasser, S., Aldrich, J. L., Legendre, C., Benard, B., Miller, C., Turner, B., Kurdoglu, A., Washington, M., Yellapantula, V., Adkins, J. R., Cuyugan, L., Boateng, M., Helland, A., Kyman, S., McDonald, J., Reiman, R., Stephenson, K., Tassone, E., Blanski, A., Livermore, B., Kirchhoff, M., Rohrer, D. C., D’Agostino, M., Gambella, M., Collison, K., Stumph, J., Kidd, P., Donnelly, A., Zaugg, B., Toone, M., McBride, K., DeRome, M., Rogers, J., Craig, D., Liang, W. S., Gutierrez, N. C., Jewell, S. D., Carpten, J., Anderson, K. C., Cho, H. J., Auclair, D., Lonial, S., & Keats, J. J.
- Affiliations
- Translational Genomics Research Institute (US)
- Tisch Cancer Institute (US)
- Hackensack University Medical Center (US)
- Washington University in St. Louis (US)
- Virginia Cancer Specialists (US)
- University of Chicago Medical Center (US)
- East Carolina University (US)
- Baylor Scott & White Research Institute (US)
- University of California San Francisco Medical Center (US)
- Levine Cancer Institute (US)
- Rocky Mountain Cancer Centers (US)
- Dartmouth–Hitchcock Medical Center (US)
- The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute (US)
- The Barbara Ann Karmanos Cancer Institute (US)
- Hospital Universitario de Canarias (ES)
- Princess Margaret Cancer Centre (CA)
- Cancer Center of Kansas (US)
- Hospital Universitario Infanta Sofía (ES)
- Hospital Universitario Nuestra Señora de Candelaria (ES)
- Oregon Health & Science University (US)
- Cross Cancer Institute (CA)
- University of Mississippi Medical Center (US)
- Waverly Hematology Oncology (US)
- Central Texas Veterans Health Care System (US)
- Hospital Clínic de Barcelona (ES)
- Cancer Care Specialists of Illinois (US)
- Mayo Clinic Hospital (US)
- Hospital de Sant Pau (ES)
- Yuma Oncology Center (US)
- Hospital Universitario Ramón y Cajal (ES)
- Kansas City VA Medical Center (US)
- Randolph Health (US)
- New York University (US)
- McGill University Health Centre (CA)
- Peninsula Regional Medical Center (US)
- Stamford Hospital (US)
- Holy Cross Hospital (US)
- Marshfield Clinic Research Foundation (US)
- VA San Diego Healthcare System (US)
- Hospital Del Mar (ES)
- Hospital Son Llatzer (ES)
- Memorial Sloan Kettering Cancer Center (US)
- San Francisco VA Medical Center (US)
- Kaiser Permanente (US)
- Texas Oncology (US)
- Maimonides Medical Center (US)
- Saint Barnabas Medical Center (US)
- University of Cincinnati (US)
- Hospital Universitario Puerta de Hierro Majadahonda (ES)
- Mayo Clinic (US)
- Clinica Universidad de Navarra (ES)
- East Orange VA Medical Center (US)
- Van Andel Institute (US)
- University of Turin (IT)
- Spectrum Health (US)
- Precision for Medicine (United States) (US)
- Multiple Myeloma Research Foundation (US)
- Harvard University (US)
- Emory University (US)
- Corresponding author
- Lonial, Sagar
- Keats, Jonathan J.
- ORCID
- Skerget, Sheri
- Chari, Ajai
- Jagannath, Sundar
- Siegel, David S.
- Vij, Ravi
- Jakubowiak, Andrzej
- Liles, Darla
- Berdeja, Jesus
- Levy, Moshe
- Wolf, Jeffrey
- Usmani, Saad Z.
- Rifkin, Robert
- Benson, Don
- Zonder, Jeffrey
- Gasparetto, Cristina
- Hernández, Miguel
- Trudel, Suzanne
- Dakhil, Shaker
- Bahlis, Nizar
- Rios, Pablo
- Silbermann, Rebecca
- Lunning, Matthew
- Chu, Michael
- Shao, Spencer
- Kuzma, Charles
- Azaceta, Gemma
- Granell, Miquel
- Chinea, Anabelle
- Costello, Caitlin
- Kambhampati, Suman
- Grossbard, Michael
- Yost, Kathleen
- Onitilo, Adedayo
- Wachsman, William
- Anderson, Larry
- Bargay, Joan
- Hassoun, Hani
- Kaya, Hakan
- Menter, Alex
- Conde, Miguel
- Krsnik, Isabel
- Kumar, Shaji
- Oriol, Albert
- Roy, Vivek
- Nasser, Sara
- Aldrich, Jessica L.
- Benard, Brooks
- Washington, Megan
- Yellapantula, Venkata
- Helland, Adrienne
- Kyman, Shari
- Tassone, Erica
- Rohrer, Daniel C.
- D’Agostino, Mattia
- Stumph, Jennifer
- Toone, Maureen
- Craig, David
- Liang, Winnie S.
- Gutierrez, Norma C.
- Jewell, Scott D.
- Carpten, John
- Anderson, Kenneth C.
- Cho, Hearn Jay
- Auclair, Daniel
- Lonial, Sagar
- Keats, Jonathan J.
- Venue
- Nature Genetics
- Published
- 2024-08-19
- Volume
- 56
- Issue
- 9
- Pages
- 1878-1889
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC11387199
- OpenAlex
- W4401702221
- Cited by
- 95
- References
- 3
- Citations by year
- 2026: 44 · 2025: 42 · 2024: 9
- FWCI
- 29.78
- Type
- journal article
- Language
- en
- Update notices
- correction (2025-06-09)
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nature Genetics (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, cc-by-nc-nd)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc-nd)
- Institutional Research Information System University of Turin (University of Turin) (submittedVersion, other-oa)
- Digital Commons@Becker (Washington University School of Medicine) (submittedVersion, cc-by-nc-nd)
- Funders
- Multiple Myeloma Research Foundation (CoMMpass Study)
- Topics
- Health Sciences › Medicine › Hematology › Multiple Myeloma Research and Treatments
- Health Sciences › Medicine › Pathology and Forensic Medicine › Lymphoma Diagnosis and Treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Keywords
- multiple myeloma, molecular subtypes, copy number alterations, gene expression subtypes, tumor progression, RB1 loss, immunotherapy targets, precision medicine, plasma cell malignancy
- MeSH terms
- Whole Genome Sequencing, Exome Sequencing, Female, Humans, Longitudinal Studies, Male, Middle Aged, Multiple Myeloma, Gene Expression Regulation, Neoplastic, Disease Progression, Gene Expression Profiling, DNA Copy Number Variations
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review